XC6VLX130T-2FF784I_XC6VLX240T-2FFG1759C Introduction

Excellent performance and excellent specifications let consumers once again call out: AMD YES!. First of all, AMD officially announced the new Zen 3 CPU architecture and brought the latest generation of Ryzen 5000 series desktop processors. Today, there is a lot of breaking news about AMD.

It was the largest M&A transaction in the United States at the time and the largest acquisition in ADI's history. In July 2020, U.S. chip giant Analog Devices Inc (ADI) announced that it plans to acquire rival Maxim Integrated Products for $20.9 billion in an all-stock deal to boost its presence in companies including telecommunications. capabilities in multiple industries.

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Softnautics took the Xilinx Vitis AI stack and used the software to provide acceleration to develop hybrid applications while implementing LSTM functionality for efficient sequence prediction by porting/migrating TensorFlow-lite to ARM. Image pre-processing/post-processing is implemented by Vivado using HLS, while Vitis's role is to perform inference using Connected Text Proposal Network (CTPN). It runs on the processing side (PS) using the N2Cube software. Ultimately, Softnautics uses the solution for real-time scene text detection in video pipelines and uses a robust dataset to refine the model.

Xilinx once revealed to the media that because Intel acquired Altera, many potential customers will hand over more orders to Xilinx for the sake of neutrality, so Xilinx's share in the FPGA market has increased significantly in the past two years. Some industry analysts pointed out that if AMD succeeds in winning Xilinx, it will bring a new competitive landscape to the global semiconductor industry. Like the outside world's neutral view of Arm, once AMD successfully acquires Xilinx, downstream customers will only have two choices when purchasing FPGA chips and related solutions, which will increase the concerns of downstream companies.

In response to AMD's acquisition of Xilinx, the Wall Street Journal analyzed that AMD may use its high stock valuation as a bargaining chip to promote the transaction or delist Xilinx at a high price. AMD’s stock price has soared 89% this year, and its market value has now exceeded $100 billion to $101.568 billion.

. Plus case (uppercase/lowercase/full small/small case), italic (Italian/Roman), scale (horizontal scale), weight, specified size (display/text), squiggly, serif (Generally divided into serifs and sans-serifs), this number can scale to millions, making text recognition an exciting professional discipline in the field of machine learning. As human language writing forms have evolved, thousands of unique character systems have developed.

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Taking Xilinx Spartan-3 XC3S1000 FPGA as an example, assume that the clock frequency is 100MHz, the inversion rate is 12.5%, and the resource utilization rate is the typical value of various actual design benchmarks. Let's analyze the decomposition of the total power consumption of the FPGA in order to understand the main power consumption. FPGA power consumption is design-dependent, that is, depends on device family, clock frequency, toggle rate, and resource utilization.

First, develop an OpenCV-based fast corner algorithm design and validate this algorithm using OpenCV-based test-inspired simulations. Next, establish the OpenCV processing algorithm based on the video data stream chain, and rewrite the usual design of the previous OpenCV. This rewrite is to be the same as the HLS video library processing mechanism, which is convenient for the function replacement in the following steps. We use the example of fast corners to illustrate the process of implementing OpenCV with VivadoHLS. Of course, these synthesizable codes can also run on a processor or ARM. Finally, the functions in the rewritten OpenCV design are replaced with video functions of the corresponding functions provided by HLS, and synthesized using VivadoHLS, implemented in FPGA programmable logic or as a Zynq SoC hardware accelerator under the Xilinx development environment.